{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#在本地运行时，在auth成功之后可以调用大部分api，但仍然无法调用history（），所以只能在聚宽上运行。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 市场底部特征分析+OLS "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import datetime\n",
    "from dateutil.relativedelta import relativedelta\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 画图\n",
    "def Draw_param(df,param,x='index'):\n",
    "    fig,ax=plt.subplots(1,1,figsize=(10,6))\n",
    "    ax.plot(eval('df.'+x),df['000001.XSHG'],color='b',label='上证综指')\n",
    "    plt.legend(loc=1)\n",
    "    ax1=ax.twinx()\n",
    "    ax1.plot(eval('df.'+x),df[param],color='y',label=param)\n",
    "    plt.legend(loc=2)\n",
    "    plt.title('%s与上证综指对比图'%param)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1、股价低于2元个股占比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 股价低于2元个股占比\n",
    "def f1(count=3000):\n",
    "#     count;取多少根K线\n",
    "    all_stock = list(get_all_securities(types='stock').index)\n",
    "    #注意为非复权价格,只能指定行数，不能指定日期，使用get_price的问题是，pandas后面不支持panel\n",
    "#     df = get_price(all_stock,start_date='2018-7-1',end_date='2019-8-31',fields=['close'],fq=None)['close']\n",
    "    df = history(count, unit='1d', field='close', security_list=all_stock, df=True, skip_paused=False, fq=None)\n",
    "#     由于我们选取当前日期，获取的股票列表，一些股票上市之前的价格为NAN,我只需要用一个大于2的数字填充，即可避免出错，又不影响统计。\n",
    "    df.fillna(10,inplace=True)\n",
    "    #把数据转换成bool，方面后面快速统计，pandas中避免用循环，这将是一个灾难\n",
    "    df1 = df<2\n",
    "    df1['count']=df1.apply(lambda x: x.sum(), axis=1)\n",
    "#     获取每日股票总数\n",
    "    df1['total']=[len(get_all_securities(types='stock',date=i)) for i in df1.index]\n",
    "    d=history(count, unit='1d', field='close', security_list='000001.XSHG', df=True, skip_paused=False, fq=None)\n",
    "    d['low_2']=df1['count']/df1['total']\n",
    "    d.dropna(inplace=True)\n",
    "    return d\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001.XSHG</th>\n",
       "      <th>low_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-10-07</th>\n",
       "      <td>2157.84</td>\n",
       "      <td>0.010599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-08</th>\n",
       "      <td>2092.22</td>\n",
       "      <td>0.011222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-09</th>\n",
       "      <td>2074.58</td>\n",
       "      <td>0.011222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-10</th>\n",
       "      <td>2000.57</td>\n",
       "      <td>0.014339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-13</th>\n",
       "      <td>2073.57</td>\n",
       "      <td>0.015586</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001.XSHG     low_2\n",
       "2008-10-07      2157.84  0.010599\n",
       "2008-10-08      2092.22  0.011222\n",
       "2008-10-09      2074.58  0.011222\n",
       "2008-10-10      2000.57  0.014339\n",
       "2008-10-13      2073.57  0.015586"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1=f1()\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Draw_param(df1,'low_2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2、 破净个股数，市场占比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 破净个股数，市场占比\n",
    "def f2(count=3000):\n",
    "    all_stock = list(get_all_securities(types='stock').index)\n",
    "    df=history(count, unit='1d', field='close', security_list='000001.XSHG', df=True, skip_paused=False, fq=None)\n",
    "    df.dropna(inplace=True)\n",
    "    df['count']=[len(get_fundamentals(query(valuation.code,valuation.pb_ratio).filter(valuation.pb_ratio<1),date=i)) for i in df.index]\n",
    "    df['total']=[len(get_all_securities(types='stock',date=i)) for i in df.index]\n",
    "    df['lower_pb']=df['count']/df['total']\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001.XSHG</th>\n",
       "      <th>count</th>\n",
       "      <th>total</th>\n",
       "      <th>lower_pb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-10-07</th>\n",
       "      <td>2157.84</td>\n",
       "      <td>125</td>\n",
       "      <td>1604</td>\n",
       "      <td>0.077930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-08</th>\n",
       "      <td>2092.22</td>\n",
       "      <td>135</td>\n",
       "      <td>1604</td>\n",
       "      <td>0.084165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-09</th>\n",
       "      <td>2074.58</td>\n",
       "      <td>136</td>\n",
       "      <td>1604</td>\n",
       "      <td>0.084788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-10</th>\n",
       "      <td>2000.57</td>\n",
       "      <td>171</td>\n",
       "      <td>1604</td>\n",
       "      <td>0.106608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-13</th>\n",
       "      <td>2073.57</td>\n",
       "      <td>165</td>\n",
       "      <td>1604</td>\n",
       "      <td>0.102868</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001.XSHG  count  total  lower_pb\n",
       "2008-10-07      2157.84    125   1604  0.077930\n",
       "2008-10-08      2092.22    135   1604  0.084165\n",
       "2008-10-09      2074.58    136   1604  0.084788\n",
       "2008-10-10      2000.57    171   1604  0.106608\n",
       "2008-10-13      2073.57    165   1604  0.102868"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b=f2()\n",
    "b.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Draw_param(b,'lower_pb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3、M2/总市值中位数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#M2/总市值中位数\n",
    "def f3(count=120):\n",
    "    from jqdata import macro\n",
    "#     获取过去10年的M2的月度数据\n",
    "    q = query(macro.MAC_MONEY_SUPPLY_MONTH.m2,\n",
    "          macro.MAC_MONEY_SUPPLY_MONTH.stat_month)\n",
    "    df = macro.run_query(q)\n",
    "    df.sort_values('stat_month',inplace=True)\n",
    "    df.reset_index(drop=True,inplace=True)\n",
    "    df1=df.iloc[-count:,:]\n",
    "    df1.reset_index(drop=True,inplace=True)\n",
    "# 获取每个月市场中位数市值\n",
    "    mid_cap=[]#存储市值中位数\n",
    "    zhishu=[]#存储指数\n",
    "    for i in df1.stat_month:\n",
    "        d=get_fundamentals(query(valuation.code,\n",
    "                                 valuation.day,\n",
    "                                 valuation.market_cap\n",
    "                                 ),date=i+'-10')\n",
    "        b=d['market_cap'].median()\n",
    "        mid_cap.append(b)\n",
    "        #由于M2数据发布在月中，有的时候放假会推迟，具体哪个交易日不固定，因此我们取中旬的第一个交易日，提取市值中位数\n",
    "        df = get_price('000001.XSHG',start_date=i+'-9',end_date=i+'-20',fields=['close'],fq=None)\n",
    "        zhishu.append(df['close'][0])\n",
    "    df1['mid_cap']=mid_cap\n",
    "    df1['000001.XSHG']=zhishu\n",
    "    df1['m2/mid_p']=round(df1.m2/df1.mid_cap,2)\n",
    "    return df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>m2</th>\n",
       "      <th>stat_month</th>\n",
       "      <th>mid_cap</th>\n",
       "      <th>000001.XSHG</th>\n",
       "      <th>m2/mid_p</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>417846.17</td>\n",
       "      <td>2008-01</td>\n",
       "      <td>47.15520</td>\n",
       "      <td>5435.81</td>\n",
       "      <td>8861.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>421037.84</td>\n",
       "      <td>2008-02</td>\n",
       "      <td>42.84220</td>\n",
       "      <td>4490.72</td>\n",
       "      <td>9827.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>423054.53</td>\n",
       "      <td>2008-03</td>\n",
       "      <td>44.67630</td>\n",
       "      <td>4146.30</td>\n",
       "      <td>9469.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>429313.72</td>\n",
       "      <td>2008-04</td>\n",
       "      <td>34.05830</td>\n",
       "      <td>3413.91</td>\n",
       "      <td>12605.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>436221.60</td>\n",
       "      <td>2008-05</td>\n",
       "      <td>34.94505</td>\n",
       "      <td>3613.49</td>\n",
       "      <td>12483.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          m2 stat_month   mid_cap  000001.XSHG  m2/mid_p\n",
       "0  417846.17    2008-01  47.15520      5435.81   8861.08\n",
       "1  421037.84    2008-02  42.84220      4490.72   9827.64\n",
       "2  423054.53    2008-03  44.67630      4146.30   9469.33\n",
       "3  429313.72    2008-04  34.05830      3413.91  12605.26\n",
       "4  436221.60    2008-05  34.94505      3613.49  12483.07"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3=f3(156)\n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Draw_param(df3,'m2/mid_p',x='stat_month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#PE中位数和十年国债收益率倒数的比较\n",
    "def f4():\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5、全市场成交额萎缩程度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#全市场成交额萎缩程度\n",
    "#当日成交量/MAX(历史成交量)\n",
    "#输出两个市场成交额数据变化\n",
    "def f5(count=3000):\n",
    "#     df1多加一年的数据的，减少初始数据影响\n",
    "    df1=history(count+250, unit='1d', field='money', security_list=['399001.XSHE','000001.XSHG'], df=True, skip_paused=False, fq=None)\n",
    "    df=history(count, unit='1d', field='close', security_list='000001.XSHG', df=True, skip_paused=False, fq=None)\n",
    "    df1['total_m']=df1['399001.XSHE']+df1['000001.XSHG']\n",
    "    max_money=[]\n",
    "    for date in df.index:\n",
    "        dfx=df1[df1.index<=date]\n",
    "        max_money.append(dfx['total_m'].max())\n",
    "    df['total_m']=df1['total_m'][-count:]\n",
    "    df['max_m']=max_money\n",
    "    df['Degree_shrinkage']=df['total_m']/df['max_m']\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001.XSHG</th>\n",
       "      <th>total_m</th>\n",
       "      <th>max_m</th>\n",
       "      <th>Degree_shrinkage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-10-07</th>\n",
       "      <td>2157.84</td>\n",
       "      <td>5.336936e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.219183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-08</th>\n",
       "      <td>2092.22</td>\n",
       "      <td>4.581214e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.188147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-09</th>\n",
       "      <td>2074.58</td>\n",
       "      <td>4.137411e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.169920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-10</th>\n",
       "      <td>2000.57</td>\n",
       "      <td>4.336050e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.178078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-13</th>\n",
       "      <td>2073.57</td>\n",
       "      <td>4.761078e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.195533</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001.XSHG        ...         Degree_shrinkage\n",
       "2008-10-07      2157.84        ...                 0.219183\n",
       "2008-10-08      2092.22        ...                 0.188147\n",
       "2008-10-09      2074.58        ...                 0.169920\n",
       "2008-10-10      2000.57        ...                 0.178078\n",
       "2008-10-13      2073.57        ...                 0.195533\n",
       "\n",
       "[5 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5=f5()\n",
    "df5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Draw_param(df5,'Degree_shrinkage')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "000001.XSHG         2.504820e+03\n",
       "total_m             1.863874e+11\n",
       "max_m               1.868375e+12\n",
       "Degree_shrinkage    9.975909e-02\n",
       "Name: 2018-12-25 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5.loc['2018-12-25',:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6、个股平均成交金额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#返回个股平均成交金额\n",
    "def f6(count=3000):\n",
    "    df=f5(count)\n",
    "#     获取每日交易个股数量\n",
    "    all_stock = list(get_all_securities(types='stock').index)\n",
    "    df1=history(len(df), unit='1d', field='paused', security_list=all_stock, df=True, skip_paused=False, fq=None)  \n",
    "#     返回的数据，停牌个股为1，未上市个股的数据为NAN，用1来填充\n",
    "    df1.fillna(1,inplace=True)\n",
    "    #统计没有上市和停牌股票数量\n",
    "    df1['count']=df1.apply(lambda x: x.sum(), axis=1)\n",
    "    df1['stock_num']=len(all_stock)-df1['count']\n",
    "    df['money_mean']=df['total_m']/df1['stock_num']\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>000001.XSHG</th>\n",
       "      <th>total_m</th>\n",
       "      <th>max_m</th>\n",
       "      <th>Degree_shrinkage</th>\n",
       "      <th>money_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-10-07</th>\n",
       "      <td>2157.84</td>\n",
       "      <td>5.336936e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.219183</td>\n",
       "      <td>3.522730e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-08</th>\n",
       "      <td>2092.22</td>\n",
       "      <td>4.581214e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.188147</td>\n",
       "      <td>3.027901e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-09</th>\n",
       "      <td>2074.58</td>\n",
       "      <td>4.137411e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.169920</td>\n",
       "      <td>2.734575e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-10</th>\n",
       "      <td>2000.57</td>\n",
       "      <td>4.336050e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.178078</td>\n",
       "      <td>2.881096e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-10-13</th>\n",
       "      <td>2073.57</td>\n",
       "      <td>4.761078e+10</td>\n",
       "      <td>2.434918e+11</td>\n",
       "      <td>0.195533</td>\n",
       "      <td>3.161406e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001.XSHG      ...         money_mean\n",
       "2008-10-07      2157.84      ...       3.522730e+07\n",
       "2008-10-08      2092.22      ...       3.027901e+07\n",
       "2008-10-09      2074.58      ...       2.734575e+07\n",
       "2008-10-10      2000.57      ...       2.881096e+07\n",
       "2008-10-13      2073.57      ...       3.161406e+07\n",
       "\n",
       "[5 rows x 5 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df6=f6()\n",
    "df6.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Draw_param(df6,'money_mean')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7、个股区间最大跌幅中位数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 个人理解为相对于上一轮行情的最大回测，因此需要把行情划分为\n",
    "def f7(count=3000):\n",
    "    all_stock = list(get_all_securities(types='stock').index)\n",
    "    df=history(count, unit='1d', field='close', security_list=all_stock, df=True, skip_paused=False, fq=None)\n",
    "    for b, i in enumerate(df.index):\n",
    "        df1 = df[df.index<=i]\n",
    "        #回撤\n",
    "        se = round(1-df1[-1:]/df1.max(),4)\n",
    "        #格式为series\n",
    "        mid=list(se.median(axis=1).values)\n",
    "        if b==0:\n",
    "            mid_decline=mid\n",
    "        else:\n",
    "            mid_decline=mid_decline+mid\n",
    "    dfz=history(count, unit='1d', field='close', security_list='000001.XSHG', df=True, skip_paused=False, fq=None)\n",
    "    dfz['min_decline']=mid_decline\n",
    "    return dfz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df7=f7()\n",
    "df7.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Draw_param(df7,'min_decline')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8、次新股的破发率、次新股PE中位、市场PE中位数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f8(count=3000):\n",
    "    # 获取全部股票信息\n",
    "    df = get_all_securities(types='stock')\n",
    "#     获取上市首日开盘价格，由于无法获取发行价，用首日开盘价代替\n",
    "    df['fir_open']=[get_price(stock,end_date=df.loc[stock]['start_date'],count=1,fields=['open'])['open'].values[0] for stock in df.index]\n",
    "#     获取所有个股每日收盘价\n",
    "    df1= df1=history(count+500, unit='1d', field='close', security_list=list(df.index), df=True, skip_paused=False, fq=None) \n",
    "    dfz=history(count, unit='1d', field='close', security_list='000001.XSHG', df=True, skip_paused=False, fq=None)\n",
    "#     破发率\n",
    "    Breakage_rate=[]\n",
    "    new_pe=[]\n",
    "    pe_rate=[]\n",
    "    for i in dfz.index:\n",
    "        df['close']=df1.loc[i,:]\n",
    "        date=i.date()\n",
    "        date2=date-relativedelta(years=1)\n",
    "        df3=df[pd.eval('df.start_date<date') & pd.eval('df.start_date>date2')]\n",
    "#         有时候一年无新股\n",
    "        if len(df3)==0:\n",
    "            Breakage_rate.append(0)\n",
    "            new_pe.append(new_pe[-1])\n",
    "        else:\n",
    "            df4=df3[df3['fir_open']>df3['close']]\n",
    "#             次新股破发率\n",
    "            Breakage_rate.append(round(len(df4)/len(df3),4))\n",
    "#     获取次新股PE中位数\n",
    "            d=date.strftime('%Y-%m-%d')\n",
    "            sub_new=get_fundamentals(query(valuation.code,\n",
    "                                           valuation.pe_ratio).filter(\n",
    "                valuation.code.in_(list(df3.index))),date=d)\n",
    "            new_pe.append(sub_new['pe_ratio'].median())\n",
    "#         获取全市场PE中位数\n",
    "        all_pe=get_fundamentals(query(valuation.code,\n",
    "                                       valuation.pe_ratio).filter(\n",
    "            valuation.code.in_(list(df.index))),date=d)\n",
    "#         删去所有未上市的个股，\n",
    "#         all_pe.dropna(axis=1,inplace=True)\n",
    "        pe_rate.append(all_pe['pe_ratio'].median())\n",
    "    dfz['Breakage_rate']=Breakage_rate\n",
    "    dfz['new_pe']=new_pe\n",
    "    dfz['pe_rate']=pe_rate\n",
    "    return dfz       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df8=f8()\n",
    "df8.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(8,5))\n",
    "ax.plot(df8.index,df8['000001.XSHG'],color='b',label='上证综指')\n",
    "plt.legend(loc=1)\n",
    "ax1=ax.twinx()\n",
    "ax1.plot(df8.index,df8['new_pe'],color='y',label='new_pe')\n",
    "ax1.plot(df8.index,df8['pe_rate'],color='y',label='pe_rate')\n",
    "plt.legend(loc=2)\n",
    "plt.title('PE与上证综指对比图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 次新股破发率\n",
    "Draw_param(df8,'Breakage_rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 9、统计市场各个行业的相对估值状态"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 给行业打标签\n",
    "def calc_state(data):\n",
    "    if data < 0.1:\n",
    "        return '极度低估'\n",
    "    elif 0.1 <= data  and data < 0.2:\n",
    "        return '低估'\n",
    "    elif 0.2 <= data  and data < 0.4:\n",
    "        return '正常偏低'\n",
    "    elif 0.4 <= data  and data < 0.6:\n",
    "        return '正常'\n",
    "    elif 0.6 <= data  and data < 0.8:\n",
    "        return '正常偏高'\n",
    "    elif 0.8 <= data  and data < 0.9:\n",
    "        return '高估'\n",
    "    elif 0.9 <= data:\n",
    "        return '极度高估'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # 获取指数pe，pb值\n",
    "# def get_index_quote(code,end_date=None,count=None,start_date=None):\n",
    "#     '''获取中证指数行情'''\n",
    "#     if isinstance(code,str):\n",
    "#         code=[code]\n",
    "#     code.sort()\n",
    "#     code = [x[:6] for x in code]\n",
    "#     days = get_trade_days(start_date,end_date,count)\n",
    "#     code_df = jy.run_query(query(\n",
    "#          jy.SecuMain.InnerCode,jy.SecuMain.SecuCode,jy.SecuMain.ChiName\n",
    "#         ).filter(\n",
    "#         jy.SecuMain.SecuCode.in_(code)).order_by(jy.SecuMain.SecuCode))\n",
    "#     df = jy.run_query(query(jy.QT_CSIIndexQuote).filter(\n",
    "#             jy.QT_CSIIndexQuote.IndexCode.in_(code_df.InnerCode),\n",
    "#             jy.QT_CSIIndexQuote.TradingDay.in_(days),\n",
    "#             ))\n",
    "# #     有时候数据没有更新，特别是当天的数据，出来的数据少一条，会造成后面的数据表无法合并\n",
    "#     if len(df)==count:\n",
    "#         pass\n",
    "#     else:\n",
    "#         count=count+1\n",
    "#         days = get_trade_days(start_date,end_date,count)\n",
    "#         df = jy.run_query(query(jy.QT_CSIIndexQuote).filter(\n",
    "#             jy.QT_CSIIndexQuote.IndexCode.in_(code_df.InnerCode),\n",
    "#             jy.QT_CSIIndexQuote.TradingDay.in_(days),\n",
    "#             ))\n",
    "# #     合并两个表格，同时删除不需要的列\n",
    "#     df2  = pd.merge(code_df, df, left_on='InnerCode',right_on='IndexCode')\n",
    "#     df2.drop(['InnerCode','IndexCode','ID','UpdateTime','JSID','OpenInterest','SettleValue','IndexCSIType'],axis=1,inplace=True)\n",
    "#     #return df2.to_panel()\n",
    "#     df3=df2[['TradingDay','IndexPERatio2','IndexDYRatio2','TurnoverValue']]\n",
    "#     #删除带空值的行，较早的数据有缺失\n",
    "#     df4=df3.dropna(axis=0)\n",
    "#     #重命名列名\n",
    "#     df4.columns=['dt','PE','PB','vol']\n",
    "#     return df4.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def pe_pb_analysis(index_list=['000300.XSHG','000905.XSHG'],count=None,end_date=None,start_date=None):\n",
    "    \n",
    "#     '''PE_PB分析'''\n",
    "#     all_index = get_all_securities(['index'])\n",
    "#     pe_results = []\n",
    "#     pe_code_list = []\n",
    "#     pb_results = []\n",
    "#     pb_code_list = []\n",
    "#     #沪深\n",
    "#     for code in index_list:\n",
    "#         index_name = all_index.loc[code].display_name\n",
    "#         df_pe_pb = get_index_quote(code,end_date=end_date,count=count,start_date=start_date)\n",
    "#         #最长十年的数据\n",
    "#         df_pe_pb = df_pe_pb[-244*10:]\n",
    "                \n",
    "#         pe_ratio = len(df_pe_pb.PE[df_pe_pb.PE<df_pe_pb.iloc[-1].PE])/float(len(df_pe_pb.PE))\n",
    "#         pb_ratio = len(df_pe_pb.PB[df_pe_pb.PB<df_pe_pb.iloc[-1].PB])/float(len(df_pe_pb.PB))   \n",
    "        \n",
    "#         pe_results.append([index_name, df_pe_pb.iloc[-1].PE, '%.2f'%pe_ratio, calc_state(pe_ratio),\n",
    "#                            min(df_pe_pb.PE), max(df_pe_pb.PE), '%.2f'%median(df_pe_pb.PE),\n",
    "#                            '%.2f'%std(df_pe_pb.PE), df_pe_pb[0:1]['dt'].dt.strftime('%Y-%m-%d').tolist()[0]])\n",
    "#         pb_results.append([index_name, df_pe_pb.iloc[-1].PB, '%.2f'%pb_ratio, calc_state(pb_ratio),\n",
    "#                            min(df_pe_pb.PB), max(df_pe_pb.PB), '%.2f'%median(df_pe_pb.PB),\n",
    "#                            '%.2f'%std(df_pe_pb.PB), df_pe_pb[0:1]['dt'].dt.strftime('%Y-%m-%d').tolist()[0]])\n",
    "#         pe_code_list.append(code)\n",
    "#         pb_code_list.append(code)\n",
    "#     #date_str = pd.to_datetime(df_pe_pb.iloc[-1].name).date().strftime('%Y%m%d')\n",
    "#     #date_str = df_pe_pb.iloc[-1]['dt']\n",
    "\n",
    "#     pe_columns=['名称', '当前PE', 'PE百分位(%)', 'PE估值状态', 'PE最小', 'PE最大', 'PE中位数', 'PE标准差', '起始日期']\n",
    "#     pe_df = pd.DataFrame(data=pe_results,index=pe_code_list,columns=pe_columns)\n",
    "#     pe_df.index = pe_df['名称']\n",
    "#     del pe_df['名称']\n",
    "#     #pe_df.index.name = date_str\n",
    "    \n",
    "#     pb_columns=['名称', '当前PB', 'PB百分位(%)', 'PB估值状态', 'PB最小', 'PB最大', 'PB中位数', 'PB标准差', '起始日期']\n",
    "#     pb_df = pd.DataFrame(data=pb_results,index=pb_code_list,columns=pb_columns)\n",
    "#     pb_df.index = pb_df['名称']\n",
    "#     del pb_df['名称']\n",
    "#     #pb_df.index.name = date_str\n",
    "#     pe_df.sort_values(['PE百分位(%)'],ascending=True,inplace=True)\n",
    "#     pb_df.sort_values(['PB百分位(%)'],ascending=True,inplace=True)\n",
    "#     pe_pb=pe_df.merge(pb_df,on=['名称','起始日期'],how='left')\n",
    "# #     把'起始日期'这一列移动到最后一列\n",
    "#     col= pe_pb.pop('起始日期')\n",
    "#     pe_pb.insert(14,'起始日期',col)\n",
    "#     return pe_df,pb_df,pe_pb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Industry_valuation(count=2000,tp=28,cls=3,cs=3,start=None,end=None):\n",
    "    '''\n",
    "    tp：行业分类，目前只支持证监会行业分类和中证行业分类，12-中证指数行业分类，22-证监会行业分类2012版，23-证监会行业分类2012版(中证披露)，28-中证指数行业分类(2016版)，\n",
    "    cs:1-个股统计 2-行业统计_证监会行业分类；3-行业统计_中证行业分类；4-板块统计。CS的选择与TS对应\n",
    "    cls:1-一级行业；2-二级行业；3-三级行业；4-四级行业；5-五级行业；6-六级行业。\n",
    "    相关参数，请参考聚源数据CT_IndustryType，LC_CSIIndusPE\n",
    "    '''\n",
    "    days = get_trade_days(start_date=start,end_date=end,count=count)\n",
    "#     由于对取数据的数量进行了限制，降低为每5天取一次数据\n",
    "    days=[str(days[k])  for k in range(len(days)) if k%5==0]\n",
    "    df = jy.run_query(query(jy.CT_IndustryType).filter(jy.CT_IndustryType.Standard==tp,\n",
    "                                                       jy.CT_IndustryType.Classification==cls))\n",
    "    list1=df.IndustryName.values\n",
    "    for a,types in enumerate(['PE','PB']):\n",
    "        if types=='PE':\n",
    "            A=2\n",
    "            B='PE'\n",
    "        else:\n",
    "            A=3\n",
    "            B='PB'\n",
    "        for k,date in enumerate(days):\n",
    "            df1 = jy.run_query(query(jy.LC_CSIIndusPE).filter(jy.LC_CSIIndusPE.StatRatio==A,\n",
    "                                                              jy.LC_CSIIndusPE.StatType==cs,\n",
    "                                                              jy.LC_CSIIndusPE.SecuName.in_(list1),\n",
    "                                                              jy.LC_CSIIndusPE.TradingDate==date\n",
    "                                                              ))\n",
    "            df2=df1[['TradingDate','SecuName','RD']]\n",
    "            try:\n",
    "                df3=df2.rename(columns={'RD':df2.TradingDate.values[0].astype(str)[:10]})\n",
    "            except IndexError:\n",
    "                break\n",
    "            df4=df3.drop('TradingDate',axis=1)\n",
    "                #     删除nan行，重复的行\n",
    "            df4.dropna(inplace=True)\n",
    "            df4.drop_duplicates(inplace=True)\n",
    "            if k==0:\n",
    "                dfx=df4\n",
    "            else:\n",
    "                dfx=dfx.merge(df4,on='SecuName')\n",
    "        dfx.set_index('SecuName',inplace=True)\n",
    "        # 返回每个数字一行中的排序\n",
    "        dfy=dfx.rank(axis=1)\n",
    "        names=globals()\n",
    "        names['dfx'+str(a)]=pd.DataFrame()\n",
    "        names['dfx'+str(a)]['行业']=dfx.index\n",
    "        names['dfx'+str(a)].set_index('行业',inplace=True)\n",
    "        names['dfx'+str(a)]['当前'+B]=dfx.iloc[:,-1]\n",
    "        names['dfx'+str(a)][B+'百分位']=dfy.iloc[:,-1]/(dfy.shape[1])\n",
    "        names['dfx'+str(a)]['当前估值状态']=names['dfx'+str(a)][B+'百分位'].apply(calc_state)\n",
    "        names['dfx'+str(a)][B+'最小']=dfx.min(axis=1)\n",
    "        names['dfx'+str(a)][B+'最大']=dfx.max(axis=1)\n",
    "        names['dfx'+str(a)][B+'中位数']=dfx.median(axis=1)\n",
    "        names['dfx'+str(a)][B+'标准差']=dfx.std(axis=1)\n",
    "    res = pd.concat([dfx0,dfx1],axis=1,join='inner',ignore_index=False)\n",
    "    return res\n",
    "\n",
    "df=Industry_valuation()\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# *题外"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "有了上述几个方面的数据后，我们就可以运用机器学习对行情顶部和底部特征进行分类，我们把历史高点10%的区间定义为顶部，我们把历史低点10%的区间定义为底部，进行打标签，后面有空做SVM或者随机森林。大家有什么其他的顶底特征，可以提出，我们继续完善数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#用来找出聚宽数据库中有数据的指数，判断依据是至少有一条数据，\n",
    "#估摸着这么专业的数据库里的指数应该不会只有一条数据吧，\n",
    "#当然啦，有兴趣的话，你也可以改改下面的代码查下最早的数据时间\n",
    "def get_JQ_INDEX_WITH_DATA():\n",
    "    all_index=list(get_all_securities(types=['index']).index)\n",
    "    index_with_data=[]\n",
    "    for code in all_index:\n",
    "        if len(get_zz_quote(code,count=1)):\n",
    "            index_with_data.append(code)\n",
    "    print('JQ有数据的指数个数为：',len(index_with_data))\n",
    "    print(index_with_data)\n",
    "    JQ_index=index_with_data.copy()\n",
    "    JQ_index_name=[get_security_info(code).display_name for code in JQ_index]\n",
    "    JQ_INDEX_WITH_DATA = dict(map(lambda x,y:[x,y],JQ_index,JQ_index_name))\n",
    "    return JQ_INDEX_WITH_DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#20191030聚宽数据库中有数据的指数\n",
    "#跟踪ETF或基金的话可以取对应的指数\n",
    "#行业轮动的话可以选一组指数\n",
    "JQ_INDEX_WITH_DATA={'000001.XSHG': '上证指数',\n",
    " '000002.XSHG': 'A股指数',\n",
    " '000003.XSHG': 'B股指数',\n",
    " '000004.XSHG': '工业指数',\n",
    " '000005.XSHG': '商业指数',\n",
    " '000006.XSHG': '地产指数',\n",
    " '000007.XSHG': '公用指数',\n",
    " '000008.XSHG': '综合指数',\n",
    " '000009.XSHG': '上证380',\n",
    " '000010.XSHG': '上证180',\n",
    " '000011.XSHG': '基金指数',\n",
    " '000012.XSHG': '国债指数',\n",
    " '000013.XSHG': '上证企业债指数',\n",
    " '000015.XSHG': '红利指数',\n",
    " '000016.XSHG': '上证50',\n",
    " '000017.XSHG': '新综指',\n",
    " '000018.XSHG': '180金融',\n",
    " '000019.XSHG': '治理指数',\n",
    " '000020.XSHG': '中型综指',\n",
    " '000021.XSHG': '180治理',\n",
    " '000022.XSHG': '上证公司债指数',\n",
    " '000025.XSHG': '180基建',\n",
    " '000026.XSHG': '180资源',\n",
    " '000027.XSHG': '180运输',\n",
    " '000028.XSHG': '180成长',\n",
    " '000029.XSHG': '180价值',\n",
    " '000030.XSHG': '180R成长',\n",
    " '000031.XSHG': '180R价值',\n",
    " '000032.XSHG': '上证能源',\n",
    " '000033.XSHG': '上证材料',\n",
    " '000034.XSHG': '上证工业',\n",
    " '000035.XSHG': '上证可选',\n",
    " '000036.XSHG': '上证消费',\n",
    " '000037.XSHG': '上证医药',\n",
    " '000038.XSHG': '上证金融',\n",
    " '000039.XSHG': '上证信息',\n",
    " '000040.XSHG': '上证电信',\n",
    " '000041.XSHG': '上证公用',\n",
    " '000042.XSHG': '上证央企',\n",
    " '000043.XSHG': '超大盘',\n",
    " '000044.XSHG': '上证中盘',\n",
    " '000045.XSHG': '上证小盘',\n",
    " '000046.XSHG': '上证中小',\n",
    " '000047.XSHG': '上证全指',\n",
    " '000048.XSHG': '责任指数',\n",
    " '000049.XSHG': '上证民企',\n",
    " '000050.XSHG': '50等权',\n",
    " '000051.XSHG': '180等权',\n",
    " '000052.XSHG': '50基本',\n",
    " '000053.XSHG': '180基本',\n",
    " '000054.XSHG': '上证海外',\n",
    " '000055.XSHG': '上证地企',\n",
    " '000056.XSHG': '上证国企',\n",
    " '000057.XSHG': '全指成长',\n",
    " '000058.XSHG': '全指价值',\n",
    " '000059.XSHG': '全R成长',\n",
    " '000060.XSHG': '全R价值',\n",
    " '000061.XSHG': '沪企债30',\n",
    " '000062.XSHG': '上证沪企',\n",
    " '000063.XSHG': '上证周期',\n",
    " '000064.XSHG': '非周期',\n",
    " '000065.XSHG': '上证龙头',\n",
    " '000066.XSHG': '上证商品',\n",
    " '000067.XSHG': '上证新兴',\n",
    " '000068.XSHG': '上证资源',\n",
    " '000069.XSHG': '消费80',\n",
    " '000070.XSHG': '能源等权',\n",
    " '000071.XSHG': '材料等权',\n",
    " '000072.XSHG': '工业等权',\n",
    " '000073.XSHG': '可选等权',\n",
    " '000074.XSHG': '消费等权',\n",
    " '000075.XSHG': '医药等权',\n",
    " '000076.XSHG': '金融等权',\n",
    " '000077.XSHG': '信息等权',\n",
    " '000078.XSHG': '电信等权',\n",
    " '000079.XSHG': '公用等权',\n",
    " '000090.XSHG': '上证流通',\n",
    " '000091.XSHG': '沪财中小',\n",
    " '000092.XSHG': '资源50',\n",
    " '000093.XSHG': '180分层',\n",
    " '000094.XSHG': '上证上游',\n",
    " '000095.XSHG': '上证中游',\n",
    " '000096.XSHG': '上证下游',\n",
    " '000097.XSHG': '高端装备',\n",
    " '000098.XSHG': '上证F200',\n",
    " '000099.XSHG': '上证F300',\n",
    " '000100.XSHG': '上证F500',\n",
    " '000101.XSHG': '5年信用',\n",
    " '000102.XSHG': '沪投资品',\n",
    " '000103.XSHG': '沪消费品',\n",
    " '000104.XSHG': '380能源',\n",
    " '000105.XSHG': '380材料',\n",
    " '000106.XSHG': '380工业',\n",
    " '000107.XSHG': '380可选',\n",
    " '000108.XSHG': '380消费',\n",
    " '000109.XSHG': '380医药',\n",
    " '000110.XSHG': '380金融',\n",
    " '000111.XSHG': '380信息',\n",
    " '000112.XSHG': '380电信',\n",
    " '000113.XSHG': '380公用',\n",
    " '000114.XSHG': '持续产业',\n",
    " '000115.XSHG': '380等权',\n",
    " '000116.XSHG': '信用100',\n",
    " '000117.XSHG': '380成长',\n",
    " '000118.XSHG': '380价值',\n",
    " '000119.XSHG': '380R成长',\n",
    " '000120.XSHG': '380R价值',\n",
    " '000121.XSHG': '医药主题',\n",
    " '000122.XSHG': '农业主题',\n",
    " '000123.XSHG': '180动态',\n",
    " '000125.XSHG': '180稳定',\n",
    " '000126.XSHG': '消费50',\n",
    " '000128.XSHG': '380基本',\n",
    " '000129.XSHG': '180波动',\n",
    " '000130.XSHG': '380波动',\n",
    " '000131.XSHG': '上证高新',\n",
    " '000132.XSHG': '上证100',\n",
    " '000133.XSHG': '上证150',\n",
    " '000134.XSHG': '上证银行',\n",
    " '000135.XSHG': '180高贝',\n",
    " '000136.XSHG': '180低贝',\n",
    " '000137.XSHG': '380高贝',\n",
    " '000138.XSHG': '380低贝',\n",
    " '000139.XSHG': '上证转债',\n",
    " '000141.XSHG': '380动态',\n",
    " '000142.XSHG': '380稳定',\n",
    " '000145.XSHG': '优势资源',\n",
    " '000146.XSHG': '优势制造',\n",
    " '000147.XSHG': '优势消费',\n",
    " '000148.XSHG': '消费领先',\n",
    " '000149.XSHG': '180红利',\n",
    " '000150.XSHG': '380红利',\n",
    " '000151.XSHG': '上国红利',\n",
    " '000152.XSHG': '上央红利',\n",
    " '000153.XSHG': '上民红利',\n",
    " '000155.XSHG': '市值百强',\n",
    " '000158.XSHG': '上证环保',\n",
    " '000159.XSHG': '上证沪股通指数',\n",
    " '000160.XSHG': '上证一带一路主题指数',\n",
    " '000161.XSHG': '上证中国制造2025主题指数',\n",
    " '000162.XSHG': '上证互联网+主题指数',\n",
    " '000171.XSHG': '新兴成指',\n",
    " '000300.XSHG': '沪深300',\n",
    " '000801.XSHG': '资源80',\n",
    " '000802.XSHG': '500沪市',\n",
    " '000803.XSHG': '300波动',\n",
    " '000804.XSHG': '500波动',\n",
    " '000805.XSHG': 'A股资源',\n",
    " '000806.XSHG': '消费服务',\n",
    " '000807.XSHG': '食品饮料',\n",
    " '000808.XSHG': '医药生物',\n",
    " '000809.XSHG': '细分农业',\n",
    " '000810.XSHG': '细分能源',\n",
    " '000811.XSHG': '细分有色',\n",
    " '000812.XSHG': '细分机械',\n",
    " '000813.XSHG': '细分化工',\n",
    " '000814.XSHG': '细分医药',\n",
    " '000815.XSHG': '细分食品',\n",
    " '000816.XSHG': '细分地产',\n",
    " '000818.XSHG': '细分金融',\n",
    " '000819.XSHG': '有色金属',\n",
    " '000820.XSHG': '煤炭指数',\n",
    " '000821.XSHG': '300红利',\n",
    " '000822.XSHG': '500红利',\n",
    " '000824.XSHG': '国企红利',\n",
    " '000825.XSHG': '央企红利',\n",
    " '000826.XSHG': '民企红利',\n",
    " '000827.XSHG': '中证环保',\n",
    " '000828.XSHG': '300高贝',\n",
    " '000829.XSHG': '300低贝',\n",
    " '000830.XSHG': '500高贝',\n",
    " '000831.XSHG': '500低贝',\n",
    " '000832.XSHG': '中证转债',\n",
    " '000833.XSHG': '中高企债',\n",
    " '000838.XSHG': '创业价值',\n",
    " '000839.XSHG': '浙企综指',\n",
    " '000840.XSHG': '浙江民企',\n",
    " '000841.XSHG': '800医药',\n",
    " '000842.XSHG': '800等权',\n",
    " '000843.XSHG': '300动态',\n",
    " '000844.XSHG': '300稳定',\n",
    " '000846.XSHG': 'ESG100',\n",
    " '000852.XSHG': '中证1000指数',\n",
    " '000855.XSHG': '央视财经500指数',\n",
    " '000901.XSHG': '小康指数',\n",
    " '000902.XSHG': '中证流通',\n",
    " '000903.XSHG': '中证100',\n",
    " '000904.XSHG': '中证200',\n",
    " '000905.XSHG': '中证500',\n",
    " '000906.XSHG': '中证800',\n",
    " '000907.XSHG': '中证700',\n",
    " '000908.XSHG': '300能源',\n",
    " '000909.XSHG': '300材料',\n",
    " '000910.XSHG': '300工业',\n",
    " '000911.XSHG': '300可选',\n",
    " '000912.XSHG': '300消费',\n",
    " '000913.XSHG': '300医药',\n",
    " '000914.XSHG': '300金融',\n",
    " '000915.XSHG': '300信息',\n",
    " '000916.XSHG': '300电信',\n",
    " '000917.XSHG': '300公用',\n",
    " '000918.XSHG': '300成长',\n",
    " '000919.XSHG': '300价值',\n",
    " '000920.XSHG': '300R成长',\n",
    " '000921.XSHG': '300R价值',\n",
    " '000922.XSHG': '中证红利',\n",
    " '000923.XSHG': '公司债',\n",
    " '000925.XSHG': '基本面50',\n",
    " '000926.XSHG': '中证央企',\n",
    " '000927.XSHG': '央企100',\n",
    " '000928.XSHG': '中证能源',\n",
    " '000929.XSHG': '中证材料',\n",
    " '000930.XSHG': '中证工业',\n",
    " '000931.XSHG': '中证可选',\n",
    " '000932.XSHG': '中证消费',\n",
    " '000933.XSHG': '中证医药',\n",
    " '000934.XSHG': '中证金融',\n",
    " '000935.XSHG': '中证信息',\n",
    " '000936.XSHG': '中证电信',\n",
    " '000937.XSHG': '中证公用',\n",
    " '000938.XSHG': '中证民企',\n",
    " '000939.XSHG': '民企200',\n",
    " '000940.XSHG': '财富大盘',\n",
    " '000941.XSHG': '新能源',\n",
    " '000942.XSHG': '内地消费',\n",
    " '000943.XSHG': '内地基建',\n",
    " '000944.XSHG': '内地资源',\n",
    " '000945.XSHG': '内地运输',\n",
    " '000946.XSHG': '内地金融',\n",
    " '000947.XSHG': '内地银行',\n",
    " '000948.XSHG': '内地地产',\n",
    " '000949.XSHG': '内地农业',\n",
    " '000950.XSHG': '300基建',\n",
    " '000951.XSHG': '300银行',\n",
    " '000952.XSHG': '300地产',\n",
    " '000953.XSHG': '中证地企',\n",
    " '000954.XSHG': '地企100',\n",
    " '000955.XSHG': '中证国企',\n",
    " '000956.XSHG': '国企200',\n",
    " '000957.XSHG': '300运输',\n",
    " '000958.XSHG': '创业成长',\n",
    " '000959.XSHG': '银河99',\n",
    " '000960.XSHG': '中证龙头',\n",
    " '000961.XSHG': '中证上游',\n",
    " '000962.XSHG': '中证中游',\n",
    " '000963.XSHG': '中证下游',\n",
    " '000964.XSHG': '中证新兴',\n",
    " '000965.XSHG': '基本200',\n",
    " '000966.XSHG': '基本400',\n",
    " '000967.XSHG': '基本600',\n",
    " '000968.XSHG': '300周期',\n",
    " '000969.XSHG': '300非周',\n",
    " '000970.XSHG': 'ESG40',\n",
    " '000971.XSHG': '等权90',\n",
    " '000972.XSHG': '300沪市',\n",
    " '000975.XSHG': '钱江30',\n",
    " '000977.XSHG': '内地低碳',\n",
    " '000978.XSHG': '医药100',\n",
    " '000979.XSHG': '大宗商品',\n",
    " '000980.XSHG': '中证超大',\n",
    " '000981.XSHG': '300分层',\n",
    " '000982.XSHG': '500等权',\n",
    " '000983.XSHG': '智能资产',\n",
    " '000984.XSHG': '300等权',\n",
    " '000985.XSHG': '中证全指',\n",
    " '000986.XSHG': '全指能源',\n",
    " '000987.XSHG': '全指材料',\n",
    " '000988.XSHG': '全指工业',\n",
    " '000989.XSHG': '全指可选',\n",
    " '000990.XSHG': '全指消费',\n",
    " '000991.XSHG': '全指医药',\n",
    " '000992.XSHG': '全指金融',\n",
    " '000993.XSHG': '全指信息',\n",
    " '000994.XSHG': '全指电信',\n",
    " '000995.XSHG': '全指公用',\n",
    " '000998.XSHG': '中证TMT',\n",
    " '399701.XSHE': '深证F60',\n",
    " '399702.XSHE': '深证F120',\n",
    " '399703.XSHE': '深证F200',\n",
    " '399704.XSHE': '深证上游',\n",
    " '399705.XSHE': '深证中游',\n",
    " '399706.XSHE': '深证下游',\n",
    " '399707.XSHE': '中证申万证券行业指数',\n",
    " '399802.XSHE': '500深市',\n",
    " '399803.XSHE': '中证工业4.0指数',\n",
    " '399804.XSHE': '中证体育产业指数',\n",
    " '399805.XSHE': '中证互联网金融指数',\n",
    " '399806.XSHE': '中证环境治理指数',\n",
    " '399807.XSHE': '中证高铁产业指数',\n",
    " '399808.XSHE': '中证新能源指数',\n",
    " '399809.XSHE': '中证方正富邦保险主题指数',\n",
    " '399810.XSHE': '中证申万传媒行业投资指数',\n",
    " '399811.XSHE': '中证申万电子行业投资指数',\n",
    " '399812.XSHE': '中证养老产业指数',\n",
    " '399813.XSHE': '中证国防安全指数',\n",
    " '399814.XSHE': '中证大农业指数',\n",
    " '399817.XSHE': '中证阿拉善生态主题100指数',\n",
    " '399959.XSHE': '军工指数',\n",
    " '399965.XSHE': '800地产',\n",
    " '399966.XSHE': '800非银',\n",
    " '399967.XSHE': '中证军工',\n",
    " '399970.XSHE': '中证移动互联网指数',\n",
    " '399971.XSHE': '中证传媒指数',\n",
    " '399972.XSHE': '300深市',\n",
    " '399973.XSHE': '中证国防指数',\n",
    " '399974.XSHE': '中证国有企业改革指数',\n",
    " '399975.XSHE': '中证全指证券公司指数(四级行业)',\n",
    " '399976.XSHE': '中证新能源汽车指数',\n",
    " '399983.XSHE': '沪深300地产等权重指数',\n",
    " '399986.XSHE': '中证银行指数',\n",
    " '399987.XSHE': '中证酒指数',\n",
    " '399989.XSHE': '中证医疗指数',\n",
    " '399990.XSHE': '中证煤炭等权指数',\n",
    " '399991.XSHE': '中证一带一路主题指数',\n",
    " '399992.XSHE': '中证万得并购重组指数',\n",
    " '399993.XSHE': '中证万得生物科技指数',\n",
    " '399994.XSHE': '中证信息安全主题指数',\n",
    " '399995.XSHE': '中证基建工程指数',\n",
    " '399996.XSHE': '中证智能家居指数',\n",
    " '399997.XSHE': '中证白酒指数',\n",
    " '399998.XSHE': '中证煤炭指数'}"
   ]
  },
  {
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   "execution_count": null,
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   "execution_count": null,
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   "metadata": {},
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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